The following data give the selling price, square footage, number of bedrooms, and the age of the houses that have sold in a neighborhood in the past 6 months. Develop three regression models to predict the selling price based upon each of other the other factors individually. Which of these is the best?

Second part of question...
Using the above data and develop a regression model to predict selling price based on the square footage and number of bedrooms. Use this to predict the selling price of a 2,000 square foot house with 3 bedrooms. Compare this model with the above models. Should the number of bedrooms be included in the model? Why or why not?

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Selling Square Bedrooms Age (Years) 9 Price(S) 84,000 79,000 91,500 120,00O 127,500 132,50 145,00O 164,00O 155,000 168,00O 172,500 174,000 175,00o 177,500 184,00O 195,500 195,00O Footage 1,670 1,339 1,712 1,840 2,300 2,234 2,311 2,377 2,736 2,500 2,500 2,479 2,400 3,124 2,500 4,062 2,854 30 30 40 18 30 19 10 10